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Resource management in the federated cloud environment using Cournot and Bertrand competitions

机译:使用Cournot和Bertrand比赛的联邦云环境中的资源管理

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摘要

Cloud federation helps cloud providers to scale up by renting resources from other providers when the workload increased. Moreover, cloud providers with idle or underutilized resources can sell their resources to others and earn revenue inside a cloud federation. One of the most critical problems in the federated cloud environment is the management of resources and cloud providers. The game theory seems to be an excellent way to model cloud federation. This paper introduces a new model for resource management between cloud providers in a centralized federated cloud environment, based on the well known Cournot and Bertrand games. To resolve the problem of heterogeneous resources, a physical resource unit which has specific computational features and can be shared between cloud providers is introduced in this paper. Besides, by introducing a new revenue-sharing approach between providers, this paper increased the collaboration of different providers. This model is implemented by the federated Cloudsim tool, and experiments show that the Cournot model outperforms others in terms of overall benefit and responsiveness. In other words, Cournot model can respond to an acceptable number of requests while making more profit. Besides, the reviews show that the proposed model works better than other methods in terms of time.
机译:云联合会有助于云提供商在工作量增加时通过从其他提供商租用资源来扩展。此外,具有空闲或未充分利用资源的云提供商可以向其他人销售其资源并在云联合会内部收入。联邦云环境中最关键的问题之一是资源和云提供商的管理。博弈论似乎是模型云联合的绝佳方式。本文介绍了一个新的云提供商在集中式联邦云环境中的资源管理模型,基于众所周知的Cournot和Bertrand Games。为了解决异构资源的问题,本文介绍了具有特定计算特征的物理资源单元,并且可以在本文中引入云提供商之间。此外,通过在提供商之间引入新的收入分享方法,本文增加了不同提供商的合作。该模型由联邦CloudSim工具实施,实验表明,在整体益处和响应性方面,Cournot模型优于他人。换句话说,法庭模型可以在制作更多利润的同时响应可接受的请求。此外,评论表明,在时间方面,拟议的模型比其他方法更好。

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